Is Apply Transform Over Each Element in Array easy or hard?

The problem is classified as Easy. It focuses on basic array traversal and function application. The main goal is understanding how to apply a transformation to each element while building a new result array.

Apply Transform Over Each Element in Array Python/Java solution

In Python or Java, the solution iterates through the array and applies a function to each element while storing results in a new array or list. The logic mirrors the behavior of built‑in map utilities but is implemented manually using a loop or recursion. Both versions run in O(n) time.

How to solve Apply Transform Over Each Element in Array in O(n)?

Traverse the array sequentially and apply the transformation function to each element. Store the computed value in a new result array. Since the algorithm performs one operation per element, it runs in linear time O(n) with O(n) space for the transformed array.

What is the best approach for Apply Transform Over Each Element in Array?

The most efficient approach is iterating through the array with a simple for loop and applying the transformation function to each element. For every index i, compute fn(arr[i], i) and store the result in a new array. This processes each element exactly once, resulting in O(n) time complexity and O(n) space for the output array.

Is Apply Transform Over Each Element in Array asked at Google/Amazon/Meta?

This specific problem is more of a foundational coding exercise rather than a common direct interview question at major companies. However, the concept behind it—array traversal and functional transformations similar to map—is frequently used in coding interviews and real production code.

What data structure is used in Apply Transform Over Each Element in Array?

The primary data structure used is an array. The algorithm iterates through the input array and produces another array containing the transformed values. No advanced structures such as hash maps or trees are required.

What is the time complexity of Apply Transform Over Each Element in Array?

The time complexity is O(n) because each element of the array is visited exactly once. Whether you use a loop or recursion, the transformation function is applied n times. No nested iteration or additional processing is required.

Description Hints 2 Solution Video 6:58

2635. Apply Transform Over Each Element in Array

Easy86.0% acceptance3 companies

Given an integer array arr and a mapping function fn, return a new array with a transformation applied to each element.

The returned array should be created such that returnedArray[i] = fn(arr[i], i).

Please solve it without the built-in Array.map method.

Example 1:

Input: arr = [1,2,3], fn = function plusone(n) { return n + 1; }
Output: [2,3,4]
Explanation:
const newArray = map(arr, plusone); // [2,3,4]
The function increases each value in the array by one.

Example 2:

Input: arr = [1,2,3], fn = function plusI(n, i) { return n + i; }
Output: [1,3,5]
Explanation: The function increases each value by the index it resides in.

Example 3:

Input: arr = [10,20,30], fn = function constant() { return 42; }
Output: [42,42,42]
Explanation: The function always returns 42.

Constraints:

0 <= arr.length <= 1000
-10⁹ <= arr[i] <= 10⁹
fn returns an integer.

Asked at 3 companies

Google Amazon Meta

Hints open one at a time

Hint 1

Start by creating an array that will eventually be returned.

Hint 2

Loop over each element in the passed array. Push fn(arr[i]) to the returned array.

6:58

Still stuck?Read 3 approaches, or watch a walkthrough.

Open solution

2635. Apply Transform Over Each Element in Array

Asked at 3 companies

Hints open one at a time

Similar problems